Guidelines for drug donations.

Drug donations are usually given in response to acute emergencies, but they can also be part of development aid. Donations may be given directly by governments, by non-governmental organisations, as corporate donations (direct or through private voluntary organisations), or as private donations to single health facilities. Although there are legitimate differences between these donations, basic rules should apply to them all. This common core of "good donation practice" is the basis for new guidelines which have recently been issued by the World Health Organisation after consultation with all relevant United Nations agencies, the Red Cross, and other major international agencies active in humanitarian emergency relief. This article summarises the need for such guidelines, the development process, the core principles, and the guidelines themselves and gives practical advice to recipients and donor agencies.     

Model‐specification uncertainty in future forest pest outbreak

Climate change will modify forest pest outbreak characteristics, although there are disagreements regarding the specifics of these changes. A large part of this variability may be attributed to model specifications. As a case study, we developed a consensus model predicting spruce budworm (SBW, Choristoneura fumiferana [Clem.]) outbreak duration using two different predictor data sets and six different correlative methods. The model was used to project outbreak duration and the uncertainty associated with using different data sets and correlative methods (=model‐specification uncertainty) for 2011–2040, 2041–2070 and 2071–2100, according to three forcing scenarios (RCP 2.6, RCP 4.5 and RCP 8.5). The consensus model showed very high explanatory power and low bias. The model projected a more important northward shift and decrease in outbreak duration under the RCP 8.5 scenario. However, variation in single‐model projections increases with time, making future projections highly uncertain. Notably, the magnitude of the shifts in northward expansion, overall outbreak duration and the patterns of outbreaks duration at the southern edge were highly variable according to the predictor data set and correlative method used. We also demonstrated that variation in forcing scenarios contributed only slightly to the uncertainty of model projections compared with the two sources of model‐specification uncertainty. Our approach helped to quantify model‐specification uncertainty in future forest pest outbreak characteristics. It may contribute to sounder decision‐making by acknowledging the limits of the projections and help to identify areas where model‐specification uncertainty is high. As such, we further stress that this uncertainty should be strongly considered when making forest management plans, notably by adopting adaptive management strategies so as to reduce future risks.     

Sampling scale can cause bias in positive assortative mating estimates: evidence from two intertidal snails

Assortative mating in the wild is commonly estimated by correlating between traits in mating pairs (e.g. the size of males and females). Unfortunately, such an approach may suffer from considerable sampling bias when the distribution of different expressions of a trait in the wild is nonrandom (e.g. when segregation of different size classes of individuals occurs in different microhabitats or areas). Consequently, any observed trait correlation in the wild can be an artefact of pooling heterogeneous samples of mating pairs from different microhabitats or areas rather than true nonrandom matings. This bias in estimating trait correlations as a result of sampling scale is termed the scale‐of‐choice effect (SCE). In the present study, we use two intertidal littorinid species from Hong Kong to show how the SCE can bias size‐assortative mating estimates from mating pairs captured in the wild, empirically demonstrating the influence of this effect on measures of positive assortative mating. This finding cautions that studies overlooking the SCE may have misinterpreted the magnitude and the cause of assortative mating, and we provide a new analytical approach for protecting against this potential bias in future studies.     

Ranavirus could facilitate local extinction of rare amphibian species

Oecologia - There is growing evidence that pathogens play a role in population declines and species extinctions. For small populations, disease-induced extinction may be especially probable. We...     

Prenatal alpha-difluoromethylornithine treatment: effects on postnatal renal growth and function in the rat

DFMO (alpha-difluoromethylornithine) is a specific irreversible inhibitor of ornithine decarboxylase (ODC), a key enzyme in the biosynthesis of polyamines, which in turn control macromolecule synthesis during cell proliferation. The current study was designed to investigate the effects of inhibition of ODC during discrete prenatal periods on renal growth and function. We administered 5 doses of 500 mg/kg DFMO or saline s.c. to timed pregnant Sprague-Dawley rats at 12 hr intervals beginning on gestation days (GD) 11, 14, or 17. Half the dams were killed on GD 20 for fetal morphological analyses and half were allowed to go to term. Renal function was assessed on postnatal days (PD) 3, 6, 10, and 14 by tests of basal renal clearance and urinary concentrating ability, and on PD 42-44 we measured serum chemistries. All three gestational treatment regimens resulted in postnatal deficits in general growth. Only in the GD 11-13 treatment group was there evidence of embryotoxicity and neonatal renal pathophysiology. Fetal weights and urogenital morphology were altered following GD 14-16 treatment and there were persistent deficits of renal growth. GD 17-19 treatment was associated only with transient postnatal deficits of renal growth. Thus, inhibition of ODC during critical prenatal periods induced distinct developmental effects. However, there were no associations between impaired renal growth and function. These data indicate that general tissue growth is not always a predictor of physiological development and support the necessity of multifaceted approaches to the understanding of adverse developmental effects.     

The plastid rpoA gene encoding a protein homologous to the bacterial RNA polymerase alpha subunit is expressed in pea chloroplasts

Summary The gene rpoA, encoding a protein homologous to the alpha subunit of RNA polymerase from Escherichia coli has been located in pea chloroplast DNA downstream of the petD gene for subunit IV of the cytochrome b-f complex. Nucleotide sequence analysis has revealed that rpoA encodes a polypeptide of 334 amino acid residues with a molecular weight of 38916. Northern blot analysis has shown that rpoA is co-transcribed with the gene for ribosomal protein S11. A lacZ-rpoA gene-fusion has been constructed and expressed in E. coli. Antibodies raised against the fusion protein have been employed to demonstrate the synthesis of the rpoA gene product in isolated pea chloroplasts. Western blot analysis using these antibodies and antibodies against the RNA polymerase core enzyme from the cyanobacterium, Anabaena 7120, has revealed the presence of the gene product in a crude RNA polymerase preparation from pea chloroplasts.